Deenar Amir Virani , Anna Szatan , Soyun Oh , Amartha Gore , Latha Hebbar , Chris Goodier , Dulaney Wilson , Myrtede C. Alfred
{"title":"利用事故报告确定导致孕产妇护理不良事件的系统因素","authors":"Deenar Amir Virani , Anna Szatan , Soyun Oh , Amartha Gore , Latha Hebbar , Chris Goodier , Dulaney Wilson , Myrtede C. Alfred","doi":"10.1016/j.ergon.2024.103590","DOIUrl":null,"url":null,"abstract":"<div><p>The maternal mortality rate in the US increased significantly from 20.1 deaths per 100,000 live births in 2019 to 32.9 in 2021. Black women have a higher rate of mortality and also experience higher rates of severe maternal morbidity, which are life-threating maternal health complications. However, maternal mortality and SMM are preventable with timely and responsive care, suggesting opportunities to intervene at the point of care. To examine processes contributing to adverse maternal outcomes and racial/ethnic disparities in these outcomes, we analyzed 550 incident report (IRs) collected in the maternity units of a large academic hospital in 2019 and 2020. IRs were disaggregated by race/ethnicity and the IR narratives were coded using the systems factors from the SEIPS 2.0 model. <em>Tasks</em> (40%) and <em>organization</em> (30%) were most frequently reported SEIPS 2.0 categories. The majority of these incidents were the result of omissions (15%), staffing (9%), teamwork and coordination (7%), specimen labeling errors (7%), and hospital protocols (6%). These findings from this analysis can improve system safety and support the development of targeted efforts to improve health equity for women and birthing of people of color.</p></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying systems factors contributing to adverse events in maternal care using incident reports\",\"authors\":\"Deenar Amir Virani , Anna Szatan , Soyun Oh , Amartha Gore , Latha Hebbar , Chris Goodier , Dulaney Wilson , Myrtede C. Alfred\",\"doi\":\"10.1016/j.ergon.2024.103590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The maternal mortality rate in the US increased significantly from 20.1 deaths per 100,000 live births in 2019 to 32.9 in 2021. Black women have a higher rate of mortality and also experience higher rates of severe maternal morbidity, which are life-threating maternal health complications. However, maternal mortality and SMM are preventable with timely and responsive care, suggesting opportunities to intervene at the point of care. To examine processes contributing to adverse maternal outcomes and racial/ethnic disparities in these outcomes, we analyzed 550 incident report (IRs) collected in the maternity units of a large academic hospital in 2019 and 2020. IRs were disaggregated by race/ethnicity and the IR narratives were coded using the systems factors from the SEIPS 2.0 model. <em>Tasks</em> (40%) and <em>organization</em> (30%) were most frequently reported SEIPS 2.0 categories. The majority of these incidents were the result of omissions (15%), staffing (9%), teamwork and coordination (7%), specimen labeling errors (7%), and hospital protocols (6%). These findings from this analysis can improve system safety and support the development of targeted efforts to improve health equity for women and birthing of people of color.</p></div>\",\"PeriodicalId\":50317,\"journal\":{\"name\":\"International Journal of Industrial Ergonomics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Industrial Ergonomics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169814124000465\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Industrial Ergonomics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169814124000465","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Identifying systems factors contributing to adverse events in maternal care using incident reports
The maternal mortality rate in the US increased significantly from 20.1 deaths per 100,000 live births in 2019 to 32.9 in 2021. Black women have a higher rate of mortality and also experience higher rates of severe maternal morbidity, which are life-threating maternal health complications. However, maternal mortality and SMM are preventable with timely and responsive care, suggesting opportunities to intervene at the point of care. To examine processes contributing to adverse maternal outcomes and racial/ethnic disparities in these outcomes, we analyzed 550 incident report (IRs) collected in the maternity units of a large academic hospital in 2019 and 2020. IRs were disaggregated by race/ethnicity and the IR narratives were coded using the systems factors from the SEIPS 2.0 model. Tasks (40%) and organization (30%) were most frequently reported SEIPS 2.0 categories. The majority of these incidents were the result of omissions (15%), staffing (9%), teamwork and coordination (7%), specimen labeling errors (7%), and hospital protocols (6%). These findings from this analysis can improve system safety and support the development of targeted efforts to improve health equity for women and birthing of people of color.
期刊介绍:
The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.